Dynamics range enhancement in digital fringe projection technique

Babaie, Gelareh; Abolbashari, Mehrdad; Farahi, Faramarz

doi:10.1016/j.precisioneng.2014.06.007

Cited by 61 publications

(33 citation statements)

References 11 publications

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“…Babaie et al [23] proposed a new technique for measuring 3D shape of objects with a large range of reflectivity variation. Based on the feedback from the reflected images captured by the camera, it recursively adjusts the intensities of the projected fringe pattern at pixel level.…”

Section: Hdr Techniques By Adjusting Projected Pattern Intensitiesmentioning

confidence: 99%

Review and Comparison of High-Dynamic Range Three-Dimensional Shape Measurement Techniques

et al. 2017

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In the last decade, a significant number of techniques for three-dimensional (3D) shape measurement have been proposed. There are a large number of measurement demands for metallic workpieces with shiny surfaces in industrial applications; however, such shiny surfaces cannot be directly measured using the conventional structured light method. Therefore, various techniques have been investigated to solve this problem over the last few years. Some reviews summarize the different 3D imaging techniques; however, no comprehensive review exists that provides an insight into high-dynamic range (HDR) 3D shape measurement techniques used for shiny surfaces. We present a survey of recent HDR techniques for the digitization of shiny surfaces and classify and discuss the advantages and drawbacks of different techniques with respect to each other.

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Section: Hdr Techniques By Adjusting Projected Pattern Intensitiesmentioning

confidence: 99%

Review and Comparison of High-Dynamic Range Three-Dimensional Shape Measurement Techniques

et al. 2017

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“…Thus eight frame phase-shifted fringe images were produced according to Eq. (12), (13) and Eq. (14), and one of those fringe patterns is shown in Fig.…”

Section: Numerical Simulationmentioning

confidence: 99%

Enhanced high dynamic range 3D shape measurement based on generalized phase-shifting algorithm

Wang

Zhou

et al. 2017

Optics Communications

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It is a challenge for Phase Measurement Profilometry (PMP) to measure objects with a large range of reflectivity variation across the surface. Saturated or dark pixels in the deformed fringe patterns captured by the camera will lead to phase fluctuations and errors. Jiang et al. proposed a high dynamic range real-time 3D shape measurement method without changing camera exposures. Three inverted phase-shifted fringe patterns are used to complement three regular phase-shifted fringe patterns for phase retrieval when any of the regular fringe patterns are saturated. But Jiang's method still has some drawbacks: (1) The phases in saturated pixels are respectively estimated by different formulas for different cases. It is shortage of an universal formula; (2) it cannot be extended to four-step phase-shifting algorithm because inverted fringe patterns are the repetition of regular fringe patterns; (3) only three unsaturated intensity values at every pixel of fringe patterns are chosen for phase demodulation, lying idle the other unsaturated ones. We proposed a method for enhanced high dynamic range 3D shape measurement based on generalized phase-shifting algorithm, which combines the complementary technique of inverted and regular fringe patterns with generalized phase-shifting algorithm. Firstly, two sets of complementary phase-shifted fringe patterns, namely regular and inverted fringe patterns are projected and collected. Then all unsaturated intensity values at the same camera pixel from two sets of fringe patterns are selected, and employed to retrieve the phase by generalized phase-shifting algorithm. Finally, simulations and experiments are conducted to prove the validity of the proposed method. The results are analyzed and compared with Jiang's method, which demonstrate that the proposed method not only expands the scope of Jiang's method, but also improves the measurement accuracy. Keywordsphase-shifting algorithm; high dynamic range (HDR); phase measuring profilometry (PMP); fringe projection; least-square algorithm; phase error

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“…Besides, for the HDR scene, this method does not guarantee the validity of the data in the dark regions. In addition, Babaie et al [8] proposed a new approach to capture the dynamic range of object surface in 3D measurement, they altered the intensity of the projection pattern recursively based on the feedback from the images captured by the camera. However, this method has a complex iterative process and compresses the color distribution of the measured scene, thus it has a negative effect on the SNR.…”

Section: B Fringe Patternmentioning

confidence: 99%

High Dynamic Range Saturation Intelligence Avoidance for Three-Dimensional Shape Measurement

Zhang

Ouyang

Zhang

2015

2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing

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There always exists an intractable challenge in three-dimensional (3D) object surface measurement that it is difficult to deal with the scene with a large range reflectivity or specular reflection. This paper presents a novel 3D measurement technique: high dynamic range saturation intelligence avoidance (HDRSIA), which is based on the multiexposure principle. This method divides the object surface into several parts according to the color distribution and leverages the modified curve fitting technique to capture the best exposure time for each part, intelligently and precisely. A set of modified fringe images are then composite to a complete image contained the information of brightness part and darkness part. Experiment results verify that the proposed method can build the accurate 3D point cloud model for object surface with high dynamic range of surface reflectivity variation.

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Dynamics range enhancement in digital fringe projection technique

Cited by 61 publications

References 11 publications

Review and Comparison of High-Dynamic Range Three-Dimensional Shape Measurement Techniques

Review and Comparison of High-Dynamic Range Three-Dimensional Shape Measurement Techniques

Enhanced high dynamic range 3D shape measurement based on generalized phase-shifting algorithm

High Dynamic Range Saturation Intelligence Avoidance for Three-Dimensional Shape Measurement

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